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GLM 4.6 Turbo (Thinking)

Added Oct 2, 2025Open weights

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Use in the app

GLM 4.6 Turbo with thinking mode enabled for enhanced reasoning; shows internal reasoning and supports long context.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.00
Output
$3.00

Reference prices as published by the model provider. API example

Specifications

Context window
204.8K
Max output
131.1K
Average output (7 days)
1.9K tokens
Longer than 91% of 465 models

Side by side

GLM 4.6 Turbo (Thinking) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GLM 4.6 Turbo (Thinking)Z.aiThis modelLongCat 2.0 ThinkinglongcatRemove
ProviderZ.ailongcat
Discovery tierOpen weightsOpen weights
AddedOct 2, 2025Jul 21, 2026
Limits
Context window204.8K1MBest
Max output131.07K131.07K
Average output1.9K tokens1.1K tokens
Pricing, USD per 1M tokens
Input$1.00$0.75Best
Output$3.00$3.00
Cache read—$0.015
Performance
Throughput—56.1 tok/s
Time to first token—4.0 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index18.519.1Best
Coding Index45.8Best45.3
Math Index86.0—
Capabilities
ReasoningYesYes
ToolsNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GLM 4.6 Turbo (Thinking)
  • LongCat 2.0 Thinking

Intelligence Index

  • GLM 4.6 Turbo (Thinking)18.5
  • LongCat 2.0 Thinking19.1

GLM 4.6 Turbo (Thinking): Better than 47% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 4.6 Turbo (Thinking): 45.8Top
    • LongCat 2.0 Thinking: 45.3

  • Math Index

    Composite of the math evaluations

    • GLM 4.6 Turbo (Thinking): 86.0
    • LongCat 2.0 Thinking: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 4.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 0.5%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 739 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4.6 Turbo (Thinking): 756 Elo
    • LongCat 2.0 Thinking: 869 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 6.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.6 Turbo (Thinking): 54.0%
    • LongCat 2.0 Thinking: 65.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.6 Turbo (Thinking): 14.5%
    • LongCat 2.0 Thinking: 33.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.6 Turbo (Thinking): 78.0%Top
    • LongCat 2.0 Thinking: 78.0%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.6 Turbo (Thinking): 82.9%
    • LongCat 2.0 Thinking: —

  • IFBench

    Following precise output instructions

    • GLM 4.6 Turbo (Thinking): 43.4%
    • LongCat 2.0 Thinking: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 0.0%

  • SciCode

    Scientific computing in Python

    • GLM 4.6 Turbo (Thinking): —
    • LongCat 2.0 Thinking: 36.3%

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.6 Turbo (Thinking): 69.5%
    • LongCat 2.0 Thinking: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.6 Turbo (Thinking): 86.0%
    • LongCat 2.0 Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.6 Turbo (Thinking): 25.0%
    • LongCat 2.0 Thinking: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.6 Turbo (Thinking): 70.5%
    • LongCat 2.0 Thinking: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.6 Turbo (Thinking): 54.0%
    • LongCat 2.0 Thinking: 65.0%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/GLM-4.6-turbo:thinking",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="z-ai/GLM-4.6-turbo:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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